No medical value, Twitter, 9/24/2020 1:33:54 AM, 235845


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No medical value_2020-09-23_18-28-39.xlsx
No medical value_2020-09-23_18-28-39.xlsx
From:
Connected Action NodeXL-Reports
Uploaded on:
September 24, 2020
Short Description:
No medical value via NodeXL https://bit.ly/3hVBwUI
@king_nkuli
@sillyoldjen
@aarongoodman33
@the_hfp
@thwartypants
@meet_ghonia
@jemimajones68
@benjamincohen
@melissaisrael8
@chrisst99579344

Top hashtags:
#meded
#breonnataylor
#justiceforbreonnatalyor

Description:
Description
The graph represents a network of 1,254 Twitter users whose recent tweets contained "No medical value", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 24 September 2020 at 01:29 UTC.

The tweets in the network were tweeted over the 8-day, 9-hour, 10-minute period from Tuesday, 15 September 2020 at 11:35 UTC to Wednesday, 23 September 2020 at 20:46 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.


Author Description


Overall Graph Metrics
Vertices : 1254
Unique Edges : 1207
Edges With Duplicates : 10
Total Edges : 1217
Number of Edge Types : 5
Retweet : 939
Tweet : 36
Replies to : 84
Mentions : 135
MentionsInRetweet : 23
Self-Loops : 38
Reciprocated Vertex Pair Ratio : 0.000851063829787234
Reciprocated Edge Ratio : 0.00170068027210884
Connected Components : 107
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 868
Maximum Edges in a Connected Component : 868
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.993706
Graph Density : 0.000748442971318596
Modularity : 0.469177
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 1,254 Twitter users whose recent tweets contained "No medical value", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 24 September 2020 at 01:29 UTC.

The tweets in the network were tweeted over the 8-day, 9-hour, 10-minute period from Tuesday, 15 September 2020 at 11:35 UTC to Wednesday, 23 September 2020 at 20:46 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : No medical value
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[868] https://twitter.com/stealthy_wealth/status/1306156509139787777
[8] https://twitter.com/MoHFW_INDIA/status/1305853036972183552
[5] https://twitter.com/filpapos/status/1306329206863917058
[3] https://twitter.com/matthancock/status/1308108290451279873
[2] https://wits.worldbank.org/trade/comtrade/en/country/ALL/year/2017/tradeflow/Exports/partner/WLD/nomen/h5/product/902780
[2] https://wits.worldbank.org/trade/comtrade/en/country/ALL/year/2018/tradeflow/Exports/partner/WLD/nomen/h5/product/902780
[2] https://twitter.com/jaipo/status/1307362405454942211
[2] https://twitter.com/JoyAnnReid/status/1307427929572495362
[1] https://twitter.com/lawcrimenews/status/1306427657832165376
[1] https://www.bbc.co.uk/mediacentre/latestnews/2020/extinction-the-facts

Top URLs in Tweet in G1:
[868] https://twitter.com/stealthy_wealth/status/1306156509139787777

Top URLs in Tweet in G4:
[1] https://twitter.com/NPR/status/1306624442148294662
[1] https://twitter.com/maddow/status/1306414534916296704
[1] https://twitter.com/carvillshill/status/1306616835224240128
[1] https://www.rmafinancialgroup.com/
[1] https://www.nytimes.com/2020/09/22/technology/this-misinformation-was-coming-from-inside-the-house.html?referringSource=articleShare
[1] https://www.bbc.co.uk/mediacentre/latestnews/2020/extinction-the-facts

Top URLs in Tweet in G7:
[5] https://twitter.com/filpapos/status/1306329206863917058

Top URLs in Tweet in G8:
[8] https://twitter.com/MoHFW_INDIA/status/1305853036972183552

Top Domains
Top Domains in Tweet in Entire Graph:
[892] twitter.com
[5] worldbank.org
[1] co.uk
[1] nytimes.com
[1] rmafinancialgroup.com
[1] healthnewsreview.org
[1] archive.is

Top Domains in Tweet in G1:
[868] twitter.com

Top Domains in Tweet in G4:
[3] twitter.com
[1] rmafinancialgroup.com
[1] nytimes.com
[1] co.uk

Top Domains in Tweet in G7:
[5] twitter.com

Top Domains in Tweet in G8:
[8] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[27] meded
[5] breonnataylor
[5] justiceforbreonnatalyor
[5] blacklivesmatter
[3] davidattenborough
[3] extinction
[2] trump
[2] maga
[2] cdc
[1] pangolins



Top Hashtags in Tweet in G3:
[27] meded

Top Hashtags in Tweet in G4:
[1] werejectpmc
[1] ak47
[1] bbcqt
[1] mnleg
[1] mngov
[1] care
[1] lifeinsurance
[1] family
[1] pangolins
[1] chinese

Top Words
Top Words in Tweet in Entire Graph:
[1737] tax
[1073] medical
[1054] value
[888] etc
[877] system
[876] use
[872] pay
[872] money
[872] salary
[871] feel

Top Words in Tweet in G1:
[1736] tax
[868] look
[868] ridiculous
[868] system
[868] imagine
[868] 100k
[868] lose
[868] close
[868] half
[868] salary

Top Words in Tweet in G2:
[2] affects
[2] everyone
[2] around

Top Words in Tweet in G3:
[54] more
[54] hours
[27] universities
[27] value
[27] review
[27] wrote
[27] journal
[27] one
[27] read
[27] paid

Top Words in Tweet in G4:
[22] medical
[19] value
[5] health
[4] much
[4] life
[4] financial
[4] power
[4] still
[3] public
[3] over

Top Words in Tweet in G5:
[2] management

Top Words in Tweet in G6:
[3] dsd
[2] benjamincohen
[2] infertile
[2] bodies
[2] medical
[2] value

Top Words in Tweet in G7:
[5] best
[5] implement
[5] evidence
[5] based
[5] survival
[5] enhancing
[5] high
[5] value
[5] therapies
[5] eligible

Top Words in Tweet in G8:
[24] aiims
[8] state
[8] assembly
[8] elections
[8] coming
[8] darbhanga
[8] already
[8] medical
[8] college
[8] 22nd

Top Words in Tweet in G9:
[2] realdonaldtrump
[2] medical
[2] value
[2] weed
[2] bad
[2] illegal

Top Words in Tweet in G10:
[2] sensanders
[2] medical
[2] value
[2] marijuana

Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[872] pay,medical
[869] feel,good
[868] look,ridiculous
[868] ridiculous,tax
[868] tax,system
[868] system,imagine
[868] imagine,100k
[868] 100k,lose
[868] lose,close
[868] close,half

Top Word Pairs in Tweet in G1:
[868] look,ridiculous
[868] ridiculous,tax
[868] tax,system
[868] system,imagine
[868] imagine,100k
[868] 100k,lose
[868] lose,close
[868] close,half
[868] half,salary
[868] salary,services

Top Word Pairs in Tweet in G2:
[2] affects,everyone
[2] everyone,around

Top Word Pairs in Tweet in G3:
[27] universities,value
[27] value,review
[27] review,wrote
[27] wrote,journal
[27] journal,one
[27] one,read
[27] read,paid
[27] paid,grand
[27] grand,published
[27] published,more

Top Word Pairs in Tweet in G4:
[7] medical,value
[3] medical,science
[2] much,better
[2] medical,condition
[2] criminal,leading
[2] leading,doj
[2] doj,murderous
[2] murderous,facisct
[2] facisct,president
[2] president,plans

Top Word Pairs in Tweet in G7:
[5] best,implement
[5] implement,evidence
[5] evidence,based
[5] based,survival
[5] survival,enhancing
[5] enhancing,high
[5] high,value
[5] value,therapies
[5] therapies,eligible
[5] eligible,hfref

Top Word Pairs in Tweet in G8:
[8] state,assembly
[8] assembly,elections
[8] elections,coming
[8] coming,darbhanga
[8] darbhanga,already
[8] already,medical
[8] medical,college
[8] college,aiims
[8] aiims,22nd
[8] 22nd,aiims

Top Word Pairs in Tweet in G9:
[2] medical,value

Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@nmhheartdoc
@mkittlesonmd
@biykemb
@benjamincohen
@wheels002
@sophieelsworth
@professor_naeem
@benrothenberg
@joyannreid
@kimonickison

Top Mentioned in G2:
@willcpowell
@1kazhall
@drumeshprabhu
@nhswhistleblowr
@veritas87288142
@joneslynn
@phsothefacts
@sue91282690
@ann_poppy
@hassin_joan

Top Mentioned in G5:
@vrsrini
@rijomjohn
@roshanjnu
@epigiri
@giridar100
@jamewils
@covid19indiaorg
@anantbhan
@ramyakannan
@urvashi01

Top Mentioned in G6:
@benjamincohen
@celbati
@dre_oldereide
@outcastmunkee
@fromsmiler
@mumsnettowers

Top Mentioned in G7:
@nmhheartdoc
@mkittlesonmd
@biykemb

Top Mentioned in G9:
@realdonaldtrump
@amykremer
@anthemrespect

Top Mentioned in G10:
@da_babbyyy
@kevinmcmahonyaf
@sensanders

Top Tweeters
Top Tweeters in Entire Graph:
@leratomannya
@mthigo_
@mohalemotaung_
@mazz706
@drinkopoppapi
@marionste
@foxnews
@_uprince
@breezymeister14
@cnbc

Top Tweeters in G1:
@leratomannya
@mthigo_
@mohalemotaung_
@mazz706
@drinkopoppapi
@_uprince
@breezymeister14
@givvi_g
@charles_dust
@msyonwaba

Top Tweeters in G2:
@marionste
@drumeshprabhu
@novembervivi
@allyc375
@nhswhistleblowr
@ann_poppy
@phoebejoy1611
@willcpowell
@imonlyslightly
@alexander_minh

Top Tweeters in G3:
@kirkmurphy
@pash22
@smlungpathguy
@yatevasamejorar
@kentwillismd
@joekereb
@ritchasaxena
@alexvanbeta
@hannametsola
@serdarbalci

Top Tweeters in G4:
@timthinksthings
@brazennectar
@am1874northwich
@lifeisgood_ljt
@garry_ganu
@thedeemo
@numeratrix
@sszmidt199
@marshall23_
@evtaylor3

Top Tweeters in G5:
@jamewils
@anantbhan
@epigiri
@ramyakannan
@vrsrini
@sritara
@roshanjnu
@rprasad12
@urvashi01
@giridar100

Top Tweeters in G6:
@mumsnettowers
@thwartypants
@benjamincohen
@fromsmiler
@outcastmunkee
@jemimajones68
@dre_oldereide
@sarf_ldngirl
@celbati
@niclairem

Top Tweeters in G7:
@drnasrien
@mkittlesonmd
@nmhheartdoc
@gcfmd
@sunitchaudhrymd
@biykemb
@ghf_acad
@daveshort6

Top Tweeters in G8:
@salmanm32311370
@chandra64075480
@mishrakulu
@meet_ghonia
@vmpricky
@sparshag0912
@margi_jadav
@kandarpsinghs

Top Tweeters in G9:
@anthemrespect
@realdonaldtrump
@amykremer
@evanakilgore
@deege2554
@melissaisrael8
@tmasshole

Top Tweeters in G10:
@sensanders
@kevinmcmahonyaf
@da_babbyyy
@comanderon
@adrianvee777
@jarrodrodrigue1


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